Journals and Conference Papers:
Mohammad Ali Shaeri, Uisub Shin, Amitabh Yadav, Ricardo Caramellino, Gregor Rainer, Mahsa Shoaran, “MiBMI: A 192/512-Channel 2.46mm2 Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes”, International Solid-State Circuits Conference (ISSCC), 2024
Mahsa Shoaran, Uisub Shin, Mohammad Ali Shaeri, “Intelligent Neural Interfaces: An Emerging Era in Neurotechnology”, IEEE Custom Integrated Circuits Conference (CICC), 2024 (invited)
Cong Ding, Mingxiang Gao, Anja K. Skrivervik, Mahsa Shoaran, “A 49.8mm2 Fully Integrated, 1.5m Transmission-Range, High-Data-Rate IR-UWB Transmitter for Brain Implants”, IEEE Custom Integrated Circuits Conference (CICC), 2024 (accepted)
Mohammad Kalbasi, Mohammad Ali Shaeri, Vincent Mendez, Solaiman Shokur, Silvestro Micera, and Mahsa Shoaran, “A Hardware-Efficient EMG Decoder with an Attractor-based Neural Network for Next-Generation Hand Prostheses”, IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024 (accepted)
Mahsa Shoaran, “Next-Generation Closed-Loop Neural Interfaces: Circuit and AI-driven innovations”, IEEE Solid-State Circuits Magazine, 2023.
Yasemin Engur, Mahsa Shoaran, “A 0.21-ps FOM Capacitor-Less Analog LDO with Dual-Range Load Current for Biomedical Applications,” IEEE Biomedical Circuits and Systems (BioCAS), 2023
Arman Zarei, Bingzhao Zhu, Mahsa Shoaran, “Enhancing Epileptic Seizure Detection with EEG Feature Embeddings,” IEEE Biomedical Circuits and Systems (BioCAS), 2023
Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran, “XTab: Cross-table Pretraining for Tabular Transformers,” International Conference on Machine Learning (ICML), 2023
A 0.14-nJ/b 200-Mb/s 2.7-3.5-GHz Quasi-Balanced FSK Transceiver With PLL-Based Modulation and Sideband Energy Detection
Ieee Transactions On Circuits And Systems I-Regular Papers. 2024-03-07. DOI : 10.1109/TCSI.2024.3365862.From basic sciences and engineering to epileptology: A translational approach
Epilepsia. 2023-03-20. DOI : 10.1111/epi.17566.A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC
Ieee Solid-State Circuits Letters. 2023-01-01. Vol. 6, p. 21-24. DOI : 10.1109/LSSC.2023.3238797.Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs
2022-01-01. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) – Intelligent Technology in the Post-Pandemic Era, Incheon, SOUTH KOREA, Jun 13-15, 2022. p. 190-193. DOI : 10.1109/AICAS54282.2022.9870008.Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study
Advanced Engineering Informatics. 2022-10-01. Vol. 54, p. 101718. DOI : 10.1016/j.aei.2022.101718.NeuralTree: A 256-Channel 0.227-mu J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC
Ieee Journal Of Solid-State Circuits. 2022-09-29. DOI : 10.1109/JSSC.2022.3204508.Systems and methods for energy-efficient measurement of neurophysiological oscillations
US2024100337; EP4284250; EP4284494; WO2022164911; WO2022164912.
2022.Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques
Journal Of Neural Engineering. 2022-02-01. Vol. 19, num. 1, p. 016037. DOI : 10.1088/1741-2552/ac4ed1.An 8.7 mu J/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection
2021-01-01. 17th IEEE Asian Solid-State Circuits Conference (A-SSCC) – Integrated Circuits and Systems for the Connection of Intelligent Things, Busan, SOUTH KOREA, Nov 07-10, 2021. DOI : 10.1109/A-SSCC53895.2021.9634763.Neural interface systems with on-device computing: machine learning and neuromorphic architectures
Current Opinion In Biotechnology. 2021-12-01. Vol. 72, p. 95-101. DOI : 10.1016/j.copbio.2021.10.012.Editorial overview: Tissue, cell and pathway engineering: bioinspired, biomimetic and hybrid neural interfaces
Current Opinion In Biotechnology. 2021-12-01. Vol. 72, p. III-IV. DOI : 10.1016/j.copbio.2021.11.008.Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection
Ieee Transactions On Biomedical Circuits And Systems. 2021-10-01. Vol. 15, num. 5, p. 877-897. DOI : 10.1109/TBCAS.2021.3112756.Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection
2021-01-01. 10th International IEEE-EMBS Conference on Neural Engineering (NER), Prague, ELECTR NETWORK, May 04-06, 2021. p. 181-184. DOI : 10.1109/NER49283.2021.9441235.Predicting task performance from biomarkers of mental fatigue in global brain activity
Journal Of Neural Engineering. 2021-06-01. Vol. 18, num. 3, p. 036001. DOI : 10.1088/1741-2552/abc529.A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials
Ieee Transactions On Circuits And Systems Ii-Express Briefs. 2021-05-01. Vol. 68, num. 5, p. 1720-1724. DOI : 10.1109/TCSII.2021.3066389.Closed-Loop Neural Interfaces with Embedded Machine Learning
2020-01-01. 27th IEEE International Conference on Electronics, Circuits and Systems (IEEE ICECS), ELECTR NETWORK, Nov 23-25, 2020. DOI : 10.1109/ICECS49266.2020.9294844.ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification
IEEE Transactions on Biomedical Circuits and Systems. 2020-08-01. Vol. 14, num. 4, p. 692-704. DOI : 10.1109/TBCAS.2020.3004544.Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants
2018. 1st International Symposium on Integrated Circuits and Systems (ISICAS), Taormina, Italy, September 02-03, 2018. p. 3929-3941. DOI : 10.1109/TCSI.2018.2853983.A 16-Channel 1.1mm2 Implantable Seizure Control SoC with Sub-μW/Channel Consumption and Closed-Loop Stimulation in 0.18μm CMOS
2016. 2016 Symposium on VLSI Circuits, Honolulu, Hawaii, USA, June 13-17, 2016. DOI : 10.1109/VLSIC.2016.7573557.Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition
2016. 26th edition of GLSVLSI, Boston, USA, May 18-20, 2016. p. 433-438. DOI : 10.1145/2902961.2903028.Structured Sampling and Recovery of iEEG Signals
2015. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 13-16, 2015. p. 269-272. DOI : 10.1109/CAMSAP.2015.7383788.Jitter Analysis and Measurement in Subthreshold Source-Coupled Differential Ring Oscillators
2015. 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, May 24-27, 2015. p. 157-160. DOI : 10.1109/ISCAS.2015.7168594.Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits
IEEE Transactions on Circuits and Systems I: Regular Papers. 2015. Vol. 62, num. 2, p. 458-467. DOI : 10.1109/TCSI.2014.2364101.In-Vivo Validation of a Compact Inductively-Powered Neural Recording Interface
2014. IEEE Biomedical Circuits and Systems Conference (BioCAS). p. 360-363. DOI : 10.1109/BioCAS.2014.6981737.A Novel Compressive Sensing Architecture for High-Density Biological Signal Recording
2014. IEEE Biomedical Circuits and Systems Conference (BioCAS). DOI : 10.1109/BioCAS.2014.6981633.Tunnel FET-Based Ultra-Low Power, Low-Noise Amplifier Design for Bio-signal Acquisition
2014. International Symposium on Low Power Electronics and Design, La Jolla, CA, USA,Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition
IEEE Transactions on Biomedical Circuits and Systems. 2014. Vol. 8, num. 6, p. 857-870. DOI : 10.1109/TBCAS.2014.2304582.A Low-Power Area-Efficient Compressive Sensing Approach for Multi-Channel Neural Recording
2013. IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, May 19-23, 2013. p. 2191-2194. DOI : 10.1109/ISCAS.2013.6572310.Compressive Multichannel Cortical Signal Recording
2013. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013. p. 4305-4309. DOI : 10.1109/ICASSP.2013.6638472.The Future of Intracranial EEG Recording in Epilepsy: a Technological Issue?
Epileptologie. 2012. Vol. 29, p. 114-119.Design techniques and analysis of high-resolution neural recording systems targeting epilepsy focus localization
2012. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, California, USA, 2012. p. 5150-5153. DOI : 10.1109/EMBC.2012.6347153.Xiaorang Guo, MohammadAli Shaeri, and Mahsa Shoaran, “An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces,” IEEE Biomedical Circuits and Systems (BioCAS), 2022
Uisub Shin, Laxmeesha Somappa, Cong Ding, Bingzhao Zhu, Yashwanth Vyza, Alix Trouillet, Stéphanie P. Lacour, and Mahsa Shoaran, “A 256-Channel 0.227μJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm2-1.51μW/channel Fast-Settling Highly Multiplexed Mixed-Signal Front-End,” International Solid-State Circuits Conference (ISSCC), 2022
Uisub Shin, Cong Ding, Laxmeesha Somappa, Virginia Woods, Alik S. Widge, and Mahsa Shoaran, “A 16-Channel 60μW Neural Synchrony Processor for Multi-Mode Phase-Locked Neurostimulation,” IEEE Custom Integrated Circuits Conference (CICC), 2022
Bingzhao Zhu and Mahsa Shoaran, “Tree in Tree: from Decision trees to Decision Graphs,” 2021 Conference on Neural Information Processing Systems (NeurIPS), 2021
Lin Yao, Peter Brown, Mahsa Shoaran, “Improved Detection of Parkinsonian Resting Tremor with Feature Engineering and Kalman Filtering,” Clinical Neurophysiology, 2020
Lin Yao, Jonathan Baker, Jae-Wook Ryou, Nicholas Schiff, Keith Purpura, Mahsa Shoaran, “Mental Fatigue Prediction from Multi-Channel ECoG Signal”, 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020
Bingzhao Zhu, Milad Taghavi, Mahsa Shoaran, “Cost-Efficient Classification for Neurological Disease Detection,” IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan, 2019
Lin Yao and Mahsa Shoaran, “Enhanced Prediction of Individual Finger Movements with Temporal Dynamics of ECoG,” 53rd Asilomar Conference on Signals, Systems and Computers, 2019
Bingzhao Zhu and Mahsa Shoaran, “Hardware-Efficient Seizure Detection,” 53rd Asilomar Conference on Signals, Systems and Computers, 2019
Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, “Migraine Classification using Somatosensory Evoked Potentials,” Cephalalgia, 39(9):1143-1155, 2019
Milad Taghavi and Mahsa Shoaran, “Hardware Complexity Analysis of Deep Neural Networks and Decision Tree Ensembles for Real-time Neural Dara Classification,” IEEE EMBS Conference on Neural Engineering (IEEE NER), San Francisco, 2019
A Wolff, L Yao, J Gomez-Pilar, M Shoaran, N Jiang, G Northoff, “Neural variability quenching during decision-making: Neural individuality and its prestimulus complexity,” 192: 1-14, NeuroImage, 2019
Lin Yao, Peter Brown, Mahsa Shoaran, “Resting Tremor Detection in Parkinson’s Disease with Machine Learning and Kalman Filtering,” IEEE Biomedical Circuits and Systems Conference (IEEE BioCAS), Cleveland, Ohio, 2018
Mahsa Shoaran, Benyamin A. Haghi, Milad Taghavi, Masoud Farivar, Azita Emami, “Energy-Efficient Classification for Resource-Constrained Biomedical Applications” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE JETCAS), vol. 8, no. 4, pp. 693-707, 2018
Cosimo Aprile, Kerim Ture, Luca Baldassarre, Mahsa Shoaran, Gurkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher, “Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants,” IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 65, no. 11, pp. 3929-3941, 2018
Milad Taghavi, Benyamin A. Haghi, Masoud Farivar, Mahsa Shoaran, Azita Emami, “A 41.2 nJ/class, 32- Channel On-Chip Classifier for Epileptic Seizure Detection,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018
Taige Wang, Mahsa Shoaran, Azita Emami, “Towards Adaptive Deep Brain Stimulation in Parkinson’s Disease: LFP-based Feature Analysis and Classification,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, 2018
Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, Azita Emami, “Efficient Feature Extraction and Classification Methods in Neural Interfaces,” Winter Bridge on Frontiers of Engineering, National Academy of Engineering (NAE), , vol. 47, no. 4, 2017
Mahsa Shoaran, Masoud Farivar, Azita Emami, “Low-power and Miniaturized Seizure Control Devices for Epilepsy,” International Conference for Technology and Analysis of Seizures (ICTALS), Minneapolis, MN, 2017 (best paper award)
Mahsa Shoaran, Masoud Farivar, Azita Emami, “Hardware-Friendly Seizure Detection with a Boosted Ensemble of Shallow Decision Trees,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, Aug. 2016
Mahsa Shoaran, Claudio Pollo, Kaspar Schindler, Alexandre Schmid, “A Fully-Integrated IC with 0.85-µW/Channel Consumption for Epileptic iEEG Detection,” IEEE Transactions on Circuits and Systems II: Express Briefs (IEEE TCAS-II), vol. 62, no. 2, pp. 114-118, 2015
Mahsa Shoaran, Armin Tajalli, Massimo Alioto, Alexandre Schmid, Yusuf Leblebici, “Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits,” IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 62, no. 2, pp. 458-467, 2015
Huichu Liu, Mahsa Shoaran, Xueqing Li, Suman Datta, Alexandre Schmid, Vijaykrishnan Narayanan, “Tunnel FET-Based Ultra-Low Power, Low-Noise Amplifier Design for Bio-signal Acquisition,” International Symposium on Low Power Electronics and Design (ISLPED), La Jolla, CA, USA, 2014
Mahsa Shoaran and Alexandre Schmid, “System and Circuit Design for High-Density iEEG Recording and Epileptic Seizure Detection,” Workshop on Biomedical Microelectronics and Translational Systems Research, Switzerland, 2014
Book Chapters and Patents:
Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, Azita Emami, “Efficient Feature Extraction and Classification Methods in Neural Interfaces,” Chapter in Frontiers of Engineering: Reports on Leading-Edge Engineering, the National Academy Press, 2017
Mahsa Shoaran and Alexandre Schmid, “A Power-Efficient Compressive Sensing Platform for Cortical Implants,” Chapter in Advances in Analog Circuit Design, edited by Kofi Makinwa, Andrea Baschirott, and Pieter Harpe, Springer, 2016
Mahsa Shoaran, Mahdad Hosseini Kamal, Alexandre Schmid, “Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition,” US Patent, P2763US00
Huichu Liu, Ramesh Vaddi, Vijaykrishnan Narayanan, Suman Datta, Moon Seok Kim, Xueqing Li, Alexandre Schmid, Mahsa Shoaran, Unsuk Heo, “Low Power Nanoelectronics,” US Patent 20150333534